Testing places unique demands on AI. Errors carry real business risk, and fragile tests or slow updates can quickly erode trust in results. As a result, while momentum around AI in testing is strong, ...

In an age where software drives nearly every aspect of daily life, ensuring its quality at scale has never been more essential. In 2024 alone, global IT spent over $5.1 trillion in expenditures, and ...

AI is becoming a strategic differentiator in industrial automation; those who learn to apply it effectively will shape the next generation of industrial projects.

Most testing strategies collapse under the weight of modern software development demands. But speed requirements continue to increase while application complexity grows, which creates an impossible ...

Real-world deployments show 40% test cycle efficiency improvement, 50% faster regression testing, and 36% infrastructure cost savings.

The approach toward software testing has drastically changed over the years. It has changed from manual testing to automation frameworks and now to AI-based testing. It isn’t just about increasing ...

Quality engineering must evolve faster than code; otherwise, agentic AI will move quickly, learn rapidly and fail expensively.

Collaboration combines LambdaTest’s AI-native test automation with Lab49’s advanced domain expertise in capital markets to accelerate software delivery for financial institutions. SAN ...

If you've ever spent hours debugging a test that shouldn't have failed—only to find out it broke because of one tiny UI change—you're not alone. And Gopinath Kathiresan knows that frustration well.

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

Fintech operates under constant regulatory pressure. At the same time, competitive pressure demands speed, innovation, and intelligent automation. Risk and compliance systems sit at the...Read More ...